Item Response Theory

Do We Live in a ‘Post-Truth’ Era?

Ahlstrom‐Vij, K. (2021) · Political Studies · doi:10.1177/00323217211026427 · Cited by 26

Learning Trajectory of Item Response Theory Course Using Multiple Softwares

Retnawati, H. (2017) · OLYMPIADS IN INFORMATICS · doi:10.15388/ioi.2017.10 · Cited by 22

Cognition, educational attainment and diabetes distress predict poor health literacy in diabetes: A cross-sectional analysis of the SHELLED study

Chen, P., Callisaya, M. L., Wills, K. E., Greenaway, T. M., & Winzenberg, T. M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267265 · Cited by 23

Multidimensional Adaptive Testing with Kullback–Leibler Information Item Selection

Mulder, J., & van der Linden, W. J. (2009) · Springer eBooks · doi:10.1007/978-0-387-85461-8_4 · Cited by 22

Student assessment via graded response model

Matteucci, M., & Stracqualursi, L. (2008) · Statistica · doi:10.6092/issn.1973-2201/1216 · Cited by 22

COMPARISON OF UNIDIMENSIONAL AND MULTIDIMENSIONAL APPROACHES TO IRT PARAMETER ESTIMATION

Zhang, J. (2004) · ETS Research Report Series · doi:10.1002/j.2333-8504.2004.tb01971.x · Cited by 22

Automatic Generation of Rasch-Calibrated Items: Figural Matrices Test GEOM and Endless-Loops Test EC

Arendasy, M. E. (2005) · International Journal of Testing · doi:10.1207/s15327574ijt0503_2 · Cited by 22

ITEM RESPONSE THEORY

Carlson, J. E., & von Davier, M. (2013) · ETS Research Report Series · doi:10.1002/j.2333-8504.2013.tb02335.x · Cited by 22

Implications of Test Dimensionality for Unidimensional Irt Scoring: An Investigation of a High-Stakes Testing Program

Childs, R. A., & Oppler, S. H. (2000) · Educational and Psychological Measurement · doi:10.1177/00131640021971005 · Cited by 22

Computation and Statistical Inference for Decision Consistency Indexes Based on the Rasch Model

Huynh, H. (1990) · Journal of Educational Statistics · doi:10.2307/1165093 · Cited by 22

Beyond Functional Aspects of Reading Literacy: Theoretical Structure and Empirical Validity of Literary Literacy

Frederking, V., Henschel, S., Meier, C., Roick, T., & Stanat, D. P. (2012) · L1 Educational Studies in Language and Literature · doi:10.17239/l1esll-2012.01.02 · Cited by 22

The Multidimensional Structure of Math Anxiety Revisited

Henschel, S., & Roick, T. (2018) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000477 · Cited by 22

Item Response Theory for Efficient Human Evaluation of Chatbots

Sedoc, J., & Ungar, L. (2020) · Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP) · doi:10.18653/v1/2020.eval4nlp-1.3 · Cited by 26

Application of a Multidimensional Nested Logit Model to Multiple-Choice Test Items

Bolt, D. M., Wollack, J. A., & Suh, Y. (2012) · Psychometrika · doi:10.1007/s11336-012-9257-5 · Cited by 22

Formulation and Application of the Generalized Multilevel Facets Model

Wang, W., & Liu, C. (2007) · Educational and Psychological Measurement · doi:10.1177/0013164406296974 · Cited by 22

An Investigation of Lord's Procedure for the Detection of Differential Item Functioning

Kim, S., Cohen, A. S., & Kim, H.-O. (1994) · Applied Psychological Measurement · doi:10.1177/014662169401800303 · Cited by 22

Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies

Bartolucci, F., Pennoni, F., & Vittadini, G. (2016) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998615622234 · Cited by 22

Driving Assessment of Students’ Explanations in Game Dialog Using Computer-Adaptive Testing and Hidden Markov Modeling

Clark, D. B., Martinez-Garza, M. M., Biswas, G., Luecht, R. M., & Sengupta, P. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3546-4_10 · Cited by 23

Exact and Best Confidence Intervals for the Ability Parameter of the Rasch Model

Klauer, K. C. (1991) · Psychometrika · doi:10.1007/bf02294489 · Cited by 22

The Changing Conception of Measurement in Education and Psychology

van der Linden, W. J. (1986) · Applied Psychological Measurement · doi:10.1177/014662168601000401 · Cited by 22

Item Analysis: Theory and Practice Using Classical and Modern Test Theory

Ellis, B. B., & Mead, A. D. (2004) · doi:10.1002/9780470756669.ch16 · Cited by 22

How do I tell you what I want? Agent’s interpretation of principal’s preferences and its impact on understanding the negotiation process and outcomes

Wachowicz, T., Kersten, G. E., & Roszkowska, E. (2019) · Operational Research · doi:10.1007/s12351-018-00448-y · Cited by 21

Item response theory and its applications in educational measurement Part I: Item response theory and its implementation in R

Hori, K., Fukuhara, H., & Yamada, T. (2020) · Wiley Interdisciplinary Reviews Computational Statistics · doi:10.1002/wics.1531 · Cited by 21

Examining the structure of emotional intelligence at the item level: New perspectives, new conclusions

Maul, A. (2011) · Cognition & Emotion · doi:10.1080/02699931.2011.588690 · Cited by 21

A Multi-Level Analysis of Students’ Teacher and Family Relationships on Academic Achievement in Schools

Şengül, Ö., Zhang, X., & Leroux, A. J. (2019) · International Journal of Educational Methodology · doi:10.12973/ijem.5.1.131 · Cited by 21

Effectiveness of Item Response Theory (IRT) Proficiency Estimation Methods Under Adaptive Multistage Testing

Kim, S., Moses, T. P., & Yoo, H. (2015) · ETS Research Report Series · doi:10.1002/ets2.12057 · Cited by 21

A logistic approach to knowledge structures

Stefanutti, L. (2006) · Journal of Mathematical Psychology · doi:10.1016/j.jmp.2006.07.003 · Cited by 21

VARIATIONS IN MEAN RESPONSE TIMES FOR QUESTIONS ON THE COMPUTER‐ADAPTIVE GRE® GENERAL TEST: IMPLICATIONS FOR FAIR ASSESSMENT

Bridgeman, B., & Cline, F. A. (2000) · ETS Research Report Series · doi:10.1002/j.2333-8504.2000.tb01830.x · Cited by 21

The Junior Temperament and Character Inventory: Italian validation of a questionnaire for the measurement of personality from ages 6 to 16 years

Andriola, E., Donfrancesco, R., Zaninotto, S., Trani, M. D., Cruciani, A. C., Innocenzi, M., Marano, A., Pommella, L., & Cloninger, C. R. (2012) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2012.01.008 · Cited by 21

Comparison of Four IRT Models When Analyzing Two Tests for Inductive Reasoning

de Koning, E., Sijtsma, K., & Hamers, J. H. M. (2002) · Applied Psychological Measurement · doi:10.1177/0146621602026003005 · Cited by 21

Psychometric Analyses to Improve the Dutch ICF Activity Inventory

Bruijning, J. E., van Rens, G. H. M. B., Knol, D. L., & van Nispen, R. M. A. (2013) · Optometry and Vision Science · doi:10.1097/opx.0b013e318282cdce · Cited by 21

Are Multiple‐Choice Exams Easier for Economics Students? A Comparison of Multiple‐Choice and “Equivalent” Constructed‐Response Exam Questions

Chan, N., & Kennedy, P. (2002) · Southern Economic Journal · doi:10.1002/j.2325-8012.2002.tb00469.x · Cited by 21

Mantel-Haenszel Methodology for Detecting Item Bias: An Introduction and Example Using the Guide to the Assessment of Test Session Behavior

Nandakumar, R., Glutting, J. J., & Oakland, T. (1993) · Journal of Psychoeducational Assessment · doi:10.1177/073428299301100201 · Cited by 21

MODELING THE MIXTURE OF IRT AND PATTERN RESPONSES BY A MODIFIED HYBRID MODEL1

Yamamoto, K., & Everson, H. T. (1995) · ETS Research Report Series · doi:10.1002/j.2333-8504.1995.tb01651.x · Cited by 21

Optimal Design of Tests with Dichotomous and Polytomous Items

Berger, M. P. F. (1998) · Applied Psychological Measurement · doi:10.1177/01466216980223005 · Cited by 21

Integrating Temporal Information Into Knowledge Tracing: A Temporal Difference Approach

Zhu, J., Zang, Y., Qiu, H., & Zhou, T. (2018) · IEEE Access · doi:10.1109/access.2018.2833874 · Cited by 21

Assessing Fit of Item Response Models Using the Information Matrix Test

Ranger, J., & Kuhn, J. (2012) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2012.00174.x · Cited by 20

The Brief Attachment Scale (BAS‐16): A short measure of infant attachment

Cadman, T., Belsky, J., & Fearon, P. R. M. (2018) · Child Care Health and Development · doi:10.1111/cch.12599 · Cited by 20

Understanding Test Takers' Choices in a Self-Adapted Test: A Hidden Markov Modeling of Process Data

Arieli‐Attali, M., Ou, L., & Simmering, V. R. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00083 · Cited by 22

TGMD-2 Short Version: Evidence of Validity and Associations With Sex, Age, and BMI in Preschool Children

Bandeira, P. F. R., Duncan, M. J., Pessoa, M. L. F., Soares, Í. A. A., da Silva, L., Mota, J. A. P. S., & Martins, C. (2020) · Journal of Motor Learning and Development · doi:10.1123/jmld.2019-0040 · Cited by 20

Same‐Form Retest Effects on Credentialing Examinations

Raymond, M. R., Neustel, S., & Anderson, D. W. (2009) · Educational Measurement Issues and Practice · doi:10.1111/j.1745-3992.2009.00144.x · Cited by 20

Applications of the Analytically Derived Asymptotic Standard Errors of Item Response Theory Item Parameter Estimates

Li, Y. H., & Lissitz, R. W. (2004) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2004.tb01109.x · Cited by 20

Effects of Scale Transformation and Test‐Termination Rule on the Precision of Ability Estimation in Computerized Adaptive Testing

Yi, Q., Wang, T., & Ban, J. (2001) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2001.tb01127.x · Cited by 20

Development and Psychometric Testing of the Nursing Culture Assessment Tool

Kennerly, S. M., Yap, T. L., Hemmings, A. B., Beckett, G. H., Schafer, J., & Borchers, A. (2012) · Clinical Nursing Research · doi:10.1177/1054773812440810 · Cited by 20

Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions

Park, Y. S., Lee, Y., & Xing, K. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00255 · Cited by 20

USING A NEW STATISTICAL MODEL FOR TESTLETS TO SCORE TOEFL

Wainer, H., & Wang, X. (2001) · ETS Research Report Series · doi:10.1002/j.2333-8504.2001.tb01851.x · Cited by 20

Adaptive Testing

Weiss, D. J., & Vale, C. D. (1987) · Applied Psychology · doi:10.1111/j.1464-0597.1987.tb01190.x · Cited by 20

Some methodological issues in the development of quality of life measures for the evaluation of medical interventions*

Kessler, R. C., & Mroczek, D. K. (1996) · Journal of Evaluation in Clinical Practice · doi:10.1111/j.1365-2753.1996.tb00042.x · Cited by 20

Psychometric Properties of the Children’s Depression Inventory

Lee, Y., Krishnan, A., & Park, Y. S. (2011) · Measurement and Evaluation in Counseling and Development · doi:10.1177/0748175611428329 · Cited by 19

The Performance of Dimtest When Latent Trait and Item Difficulty Distributions Differ

Seraphine, A. E. (2000) · Applied Psychological Measurement · doi:10.1177/01466216000241005 · Cited by 19

The Oceanography Concept Inventory: A Semicustomizable Assessment for Measuring Student Understanding of Oceanography

Arthurs, L. A., Hsia, J. F., & Schweinle, W. E. (2015) · Journal of Geoscience Education · doi:10.5408/14-061.1 · Cited by 19

Modeling Local Item Dependence in Cloze and Reading Comprehension Test Items Using Testlet Response Theory

Baghaei, P., & Ravand, H. (2016) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 19

Formal Modeling of the Resistance to Peer Influence Questionnaire: A Comparison of Adolescent Boys and Girls With and Without Mild-to-Borderline Intellectual Disability

Dekkers, L. M. S., Bexkens, A., Hofman, A. D., de Boeck, P. A. L., d’Escury-Koenigs, A. L. C., & Huizenga, H. M. (2017) · Assessment · doi:10.1177/1073191117698754 · Cited by 20

Task Characteristics and Calibration

Griffin, P., Care, E., & Harding, S.-M. E. (2014) · Springer eBooks · doi:10.1007/978-94-017-9395-7_7 · Cited by 21

Classical And Rasch Analyses Of Dichotomously Scored Reading Comprehension Test Items

Zubairi, A. M., & Kassim, N. L. A. (2016) · Malaysian Journal of ELT Research · Cited by 19

An Approach That Examines Sources of Misfit to Improve Performance Assessment Items and Rubrics

Parke, C. S. (2001) · Educational Assessment · doi:10.1207/s15326977ea0703_02 · Cited by 19

A Clarification on the Response Probability Criterion RP67 for Standard Settings Based on Bookmark and Item Mapping

Huynh, H. (2006) · Educational Measurement Issues and Practice · doi:10.1111/j.1745-3992.2006.00053.x · Cited by 19

The Coping Assessment for Bereavement and Loss Experiences (CABLE): Development and initial validation

Crunk, A. E., Burke, L. A., Neimeyer, R. A., Robinson, E. H., & Bai, H. (2019) · Death Studies · doi:10.1080/07481187.2019.1676323 · Cited by 18

Automated Assessment of Complex Programming Tasks Using SIETTE

Conejo, R., Barros, B., & Bertoa, M. F. (2018) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2018.2876249 · Cited by 19

Discriminating Quality of Hospital Care in the United States

Normand, S. T., Wolf, R. E., & McNeil, B. J. (2008) · Medical Decision Making · doi:10.1177/0272989x07312710 · Cited by 19

Item Response Theory Approaches to Test Scoring and Evaluating the Score Accuracy

Brown, A. (2018) · doi:10.1002/9781118489772.ch20 · Cited by 19

Identification of Developmentally Appropriate Screening Items for Disruptive Behavior Problems in Preschoolers

Studts, C. R., & van Zyl, M. A. (2013) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-013-9738-8 · Cited by 19

Can Subject Matter Experts’ Ratings of Statement Extremity Be Used to Streamline the Development of Unidimensional Pairwise Preference Scales?

Stark, S. E., Chernyshenko, O. S., & Guenole, N. (2010) · Organizational Research Methods · doi:10.1177/1094428109356712 · Cited by 19

Ability Estimation Under Different Item Parameterization and Scoring Models

Si, C.-F., & Schumacker, R. E. (2004) · International Journal of Testing · doi:10.1207/s15327574ijt0402_3 · Cited by 18

Item response theory analysis to evaluate reliability and minimal clinically important change of the Roland-Morris Disability Questionnaire in patients with severe disability due to back pain from vertebral compression fractures

Lee, M. K., Yost, K. J., McDonald, J. S., Dougherty, R. W., Vine, R., & Kallmes, D. F. (2017) · The Spine Journal · doi:10.1016/j.spinee.2017.01.002 · Cited by 18

Predicting Math Performance from Raw Large-Scale Educational Assessments Data : A Machine Learning Approach

Saarela, M., Yener, B., Zaki, M. J., & Kärkkäinen, T. (2016) · Jyväskylä University Digital Archive (University of Jyväskylä) · Cited by 18

Extreme Response Style: A Simulation Study Comparison of Three Multidimensional Item Response Models

Leventhal, B. C. (2018) · Applied Psychological Measurement · doi:10.1177/0146621618789392 · Cited by 18

Expected Classification Accuracy using the Latent Distribution

Guo, F. (2020) · Scholarworks (University of Massachusetts Amherst) · doi:10.7275/bxba-7466 · Cited by 18

A Latent Variable Model for Discrete Multivariate Psychometric Waiting Times

Douglas, J. A., Kosorok, M. R., & Chewning, B. A. (1999) · Psychometrika · doi:10.1007/bf02294320 · Cited by 18

A Multidimensional Finite Mixture Structural Equation Model for Nonignorable Missing Responses to Test Items

Bacci, S., & Bartolucci, F. (2015) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2014.937376 · Cited by 18

Assessing Item Difficulty and Discrimination Indices of Teacher-Developed Multiple-Choice Tests

Khairani, A. Z., & Shamsuddin, H. (2016) · Springer eBooks · doi:10.1007/978-981-10-0908-2_35 · Cited by 18

A Cross-Cultural Analysis of the Infant Behavior Questionnaire Very Short Form: An Item Response Theory Analysis of Infant Temperament in New Zealand

Peterson, E. R., Mohal, J., Waldie, K. E., Reese, E., Carr, P. A., Grant, C. C., & Morton, S. (2017) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1288128 · Cited by 18

Cross-country gender DIF in PISA science literacy items

Cheema, J. (2017) · European Journal of Developmental Psychology · doi:10.1080/17405629.2017.1358607 · Cited by 18

The Use of Computers in Assessment

Clauser, B. E., & Schuwirth, L. (2002) · Springer international handbooks of education · doi:10.1007/978-94-010-0462-6_28 · Cited by 18

Assessing the Dimensionality and Factor Structure of Multiple-Choice Exams

Stone, C. A., & Yeh, C.-C. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282483 · Cited by 18

The Effect of Test Length and IRT Model on the Distribution and Stability of Three Appropriateness Indexes

Noonan, B., Boss, M. W., & Gessaroli, M. E. (1992) · Applied Psychological Measurement · doi:10.1177/014662169201600405 · Cited by 18

The Effect of Population Distribution and Method of Theta Estimation on Computerized Adaptive Testing (CAT) Using the Rating Scale Model

Chen, S., Hou, L., Fitzpatrick, S. J., & Dodd, B. G. (1997) · Educational and Psychological Measurement · doi:10.1177/0013164497057003004 · Cited by 18

SELF-ASSESSMENT OF KNOWLEDGE AND ABILITIES

Sundström, A. E. (2005) · Cited by 18

Development of the Learning Potential Computerised Adaptive Test (Lpcat)

Beer, M. D. (2005) · South African Journal of Psychology · doi:10.1177/008124630503500407 · Cited by 18

Modified scoring, traditional item analysis and Sato's caution index used to investigate the reading recall protocol

Deville, C. W., & Chalhoub-Deville, M. B. (1993) · Language Testing · doi:10.1177/026553229301000202 · Cited by 18

Performance Assessment: The State of the Art

Lane, S. (2010) · Cited by 18

Investigating the Dimensions of Spelling Ability

Notenboom, A., & Reitsma, P. H. (2003) · Educational and Psychological Measurement · doi:10.1177/0013164403258442 · Cited by 18

Detecting measurement confounding in epidemiological research: construct validity in scaling risk behaviours: based on a population sample in Minnesota, USA

Dean, K., & Salem, N. (1998) · Journal of Epidemiology & Community Health · doi:10.1136/jech.52.3.195 · Cited by 18

Item Response Modeling in Mplus: A Multi-Dimensional, Multi-Level, and Multi-Timepoint Example

Muth, B., & Asparouhov, T. (2013) · Cited by 16

Development and validation of a short version of the Female Sexual Function Index in the Spanish population

Arrom, L. M., Farrés, M. G., González, M., Palou, J., Smet, C. E., & Ramírez‐García, I. (2021) · BMC Women s Health · doi:10.1186/s12905-021-01213-8 · Cited by 17

Does the duration of school interventions matter? The effectiveness and sustainability of using the dynamic approach to promote quality and equity

Kyriakides, L. E., Antoniou, P., & Dimosthenous, A. (2021) · School Effectiveness and School Improvement · doi:10.1080/09243453.2021.1923534 · Cited by 17

Scaling: An ITEMS Module

Ye, T., & Kolen, M. J. (2010) · Educational Measurement Issues and Practice · doi:10.1111/j.1745-3992.2010.00192.x · Cited by 17

An Extended Model of Literary Literacy

Meier, C., Roick, T., Henschel, S., Brüggemann, J., Frederking, V., Rieder, A., Gerner, V., & Stanat, P. (2017) · Methodology of educational measurement and assessment · doi:10.1007/978-3-319-50030-0_5 · Cited by 17

Item response theory models in the measurement theory

Brzezińska, J. (2018) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2018.1546399 · Cited by 17

An Item Response Model for True–False Exams Based on Signal Detection Theory

DeCarlo, L. T. (2019) · Applied Psychological Measurement · doi:10.1177/0146621619843823 · Cited by 15

Performance of the S − χ 2 Statistic for Full-Information Bifactor Models

Li, Y., & Rupp, A. A. (2011) · Educational and Psychological Measurement · doi:10.1177/0013164410392031 · Cited by 17

Student teachers’ mathematics attitudes, authentic investigations and use of metacognitive tools

Afamasaga-Fuata’i, K., & Sooaemalelagi, L. (2014) · Journal of Mathematics Teacher Education · doi:10.1007/s10857-014-9270-y · Cited by 17

A Graphical Approach to Evaluating Equating Using Test Characteristic Curves

Wyse, A. E., & Reckase, M. D. (2010) · Applied Psychological Measurement · doi:10.1177/0146621610377082 · Cited by 17

A Mixture Cure-Rate Model for Responses and Response Times in Time-Limit Tests

Lee, Y., & Ying, Z. (2014) · Psychometrika · doi:10.1007/s11336-014-9419-8 · Cited by 17

Accounting for the Relationship Between Initial Status and Growth in Regression Models

Kelly, S., & Ye, F. (2016) · The Journal of Experimental Education · doi:10.1080/00220973.2016.1160357 · Cited by 17

Item-Response-Theorie (IRT)

Moosbrugger, H. (2011) · Springer-Lehrbuch · doi:10.1007/978-3-642-20072-4_10 · Cited by 17

Retention and attrition of Irish as a second language

Murtagh, L. (2003) · Cited by 17

Looking for Renaissance People: Examining Domain Specificity-Generality of Creativity Using Item Response Theory Models

Qian, M., & Plucker, J. A. (2018) · Creativity Research Journal · doi:10.1080/10400419.2018.1488348 · Cited by 17

INFORMATION FUNCTIONS OF THE GENERALIZED PARTIAL CREDIT MODEL

Muraki, E. (1993) · ETS Research Report Series · doi:10.1002/j.2333-8504.1993.tb01538.x · Cited by 17

Chapter 6: Recent Developments in Item Response Theory with Implications for Teacher Certification

Mislevy, R. J. (1987) · Review of Research in Education · doi:10.3102/0091732x014001239 · Cited by 17

Item Response Theory (IRT)

(2005) · doi:10.4135/9781412983907.n994 · Cited by 11

Issues on item response theory modelling

Matteucci, M., Mignani, S., & Veldkamp, B. P. (2009) · Contributions to statistics · doi:10.1007/978-3-7908-2385-1_3 · Cited by 2

A Comprehensive Study on Item Response Theory

Liu, Y. (2013)

Item response theory: introduction and bibliography

Hambleton, R. K. (1990) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 38

Item Response Theory and Modeling

Raykov, T. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_571